# Is a star algorithm efficient?

## Is a star algorithm efficient?

A* (pronounced as “A star”) is a computer algorithm that is widely used in pathfinding and graph traversal. The algorithm efficiently plots a walkable path between multiple nodes, or points, on the graph. On a map with many obstacles, pathfinding from points A to B can be difficult.

**How do you implement a star in Python?**

Approach

- Define an instance for turtle.
- For a drawing, a Star executes a loop 5 times.
- In every iteration move the turtle 100 units forward and move it right 144 degrees.
- This will make up an angle 36 degrees inside a star.
- 5 iterations will make up a Star perfectly.

**What is a star algorithm Python?**

A* Algorithm in Python or in general is basically an artificial intelligence problem used for the pathfinding (from point A to point B) and the Graph traversals. This algorithm is flexible and can be used in a wide range of contexts.

### Is A * more efficient than Dijkstra?

Moreover, A* is always better than Dijkstra as it performs informed rather than uninformed search: it expands more promising vertices than Dijkstra because A* considers additional information about the minimal distance to the target (the distance function).

**Does A * guarantee shortest path?**

A-star is guaranteed to provide the shortest path according to your metric function (not necessarily ‘as the bird flies’), provided that your heuristic is “admissible”, meaning that it never over-estimates the remaining distance.

**What is the problem with a-star algorithm?**

This means that the algorithms can take the path with the least cost, and find the best route in terms of distance and time. A major drawback of the algorithm is its space and time complexity. It takes a large amount of space to store all possible paths and a lot of time to find them.

#### WHY A * algorithm is popular?

A* Algorithm is one of the best and popular techniques used for path finding and graph traversals. A lot of games and web-based maps use this algorithm for finding the shortest path efficiently. It is essentially a best first search algorithm.

**Does a * guarantee shortest path?**

**Why is A * algorithm better?**

A* is the most popular choice for pathfinding, because it’s fairly flexible and can be used in a wide range of contexts. A* is like Dijkstra’s Algorithm in that it can be used to find a shortest path. A* is like Greedy Best-First-Search in that it can use a heuristic to guide itself.

## Why is A * faster than Dijkstra?

I understand how Dijkstra Algorithm and A* Algorithm work and that A* is the general case of Dijkstra. It is commonly said that A* finds the solution faster which kind of makes sense as you use a heuristic that speeds up the process / reduces the effective branching factor.

**Why is A * optimal?**

Since A* only can have as a solution a node that it has selected for expansion, it is optimal.